Comment on Abdul Jabbar et al. Air Quality, Pollution and Sustainability Trends in South Asia: A Population-Based Study. Int. J. Environ. Res. Public Health 2022, 19, 7534

Muhammad Bilal; Gerrit de Leeuw; Janet E Nichol; Max P Bleiweiss; Leiku Yang; Huabin Chai; Alaa Mhawish; Md Arfan Ali

doi:10.3390/ijerph20065075

Comment on Abdul Jabbar et al. Air Quality, Pollution and Sustainability Trends in South Asia: A Population-Based Study. Int. J. Environ. Res. Public Health 2022, 19, 7534

Int J Environ Res Public Health. 2023 Mar 14;20(6):5075. doi: 10.3390/ijerph20065075.

Authors

Muhammad Bilal¹, Gerrit de Leeuw^{2

3}, Janet E Nichol⁴, Max P Bleiweiss⁵, Leiku Yang¹, Huabin Chai¹, Alaa Mhawish⁶, Md Arfan Ali⁷

Affiliations

¹ School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China.
² Royal Netherlands Meteorological Institute (KNMI), R & D Satellite Observations, 3730 AE De Bilt, The Netherlands.
³ Aerospace Information Research Institute, Chinese Academy of Sciences (AirCAS), Beijing 100045, China.
⁴ Department of Geography, School of Global Studies, University of Sussex, Brighton BN1 9RH, UK.
⁵ Department of Entomology, Plant Pathology, and Weed Science, New Mexico State University, Las Cruces, NM 88003, USA.
⁶ School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China.
⁷ Center of Excellence for Climate Change Research/Department of Meteorology, King Abdulaziz University, Jeddah 21589, Saudi Arabia.

Abstract

This comment discusses the use of PM_2.5 (mass concentration of fine particulate matter with an aerodynamic diameter less than 2.5 microns) data in the recently published article entitled "Air Quality, Pollution and Sustainability Trends in South Asia: A Population-Based Study" by Abdul Jabbar et al. [...].

Publication types

Research Support, Non-U.S. Gov't
Comment

MeSH terms

Air Pollution* / statistics & numerical data
Asia, Southern
Particulate Matter* / analysis

Substances

Particulate Matter

Grants and funding

This work was supported by the National Natural Science Foundation of China (grant number U22A20620).